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arXiv · 2305.16359

Application of a nonlinear operator to identify an unknown parameter for a scalar regression equation with disturbance in the measurement channel

Vladimir Vorobyev·Alexey Bobtsov·Nikolay Nikolaev·Anton Pyrkin
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Abstract

The article investigates an algorithm for identifying an unknown constant parameter for a scalar regression model using a nonlinear operator that allows us to obtain a new regression equation (with an expanded number of unknown parameters) for which the influence of interference in measurement or disturbance will be minimal.

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Vladimir Vorobyev, Alexey Bobtsov, Nikolay Nikolaev, Anton Pyrkin. 2023-05-25. Application of a nonlinear operator to identify an unknown parameter for a scalar regression equation with disturbance in the measurement channel. https://arxiv.org/abs/2305.16359

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